
See where the Sonair and ADAR trademarks are registered and how to write them in copy, product materials, and partner communication.
Sonair™ and ADAR™ are trademarks of Sonair AS. This page lists where they are registered and how to write them. It's for our team, customers, partners, investors and anyone writing about us.
A trademark stays strong when it's used consistently to name one company's products. The guidance below is mostly about good writing, and the legal protection comes with it.
Why ADAR isn't the name of the technology: RADAR and LiDAR were once descriptions and are now general category words that nobody owns. ADAR reads the same way, so if we use it for the technology, others will too, and the name stops pointing to us. Keep ADAR for our products and describe the technology in plain words: 3D ultrasonic sensing.
Questions or permission requests: hello@sonair.com. This page describes how we use our marks. It is not legal advice and doesn't grant a licence to use them.
What is the angular resolution of your sensor?
This concept is not easily definable with ADAR because a pulse is not sent out in a discrete angle. If you are familiar with LiDARs, angular resolution is the angular distance (in degrees) between distance measurements of 2 beams.
This does not apply to ADAR because it does not emit beams.The angular precision is 2° straight ahead and 10° to the sides. The sensor is able to distinguish between multiple detected objects, if the objects are separated by more than 2 cm in range relative to the sensor or by more than 15° from each other.If the two objects are positioned closer than 2 cm or 15° from each other, they will be detected as 1 object.
Precision is a measure of the statistical deviation of repeated measurements on a single object’s position.
What is the maximum of points you have in the point cloud?
The maximum number of points is very rarely a limitation to the sensor’s performance, because the total number of points needed to fully sense a scene is low. The ADAR technology reports 1 point per surface on any object, making the total number of points low. This is opposite to what one might be used to from LiDARs.
The relative sparsity of the point cloud is a fundamental feature of sound-based sensing, but this is not a sensor limitation as the point cloud will always contain at least 1 point per object within line of sight from the sensor.
Can the sensor distinguish between humans and objects among detected obstacles?
ADAR does not do object classification. The sensor is for people and object detection.